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Sudhakaran Prabakaran (Laboratory of Data Science & Systems Proteogenomics, Department of Genetics, University of Cambridge)
Wednesday 31 January 2018, 18:00-20:00
Pub tutorial: Machine Learning for ‘Genomical Data’
- 👤 Speaker: Sudhakaran Prabakaran (Laboratory of Data Science & Systems Proteogenomics, Department of Genetics, University of Cambridge)
- 📅 Date & Time: Wednesday 31 January 2018, 18:00 - 20:00
- 📍 Venue: Panton Arms, 43 Panton St, Cambridge CB2 1HL
Questions? Contact
Dr David Jörg
Abstract
Machine learning (ML) approaches are used to find patterns in genomics data as as it is no longer trivial to compute, analyze, and visualize population level exabytes of genomics data that is being generated. This talk will have a general introduction to ML approaches, some examples of where it is being used in biology including some aspects of what we do. I also hope to briefly discuss the differences between Deep Learning, and AI and ML approaches.
Series This talk is part of the Theory of Living Matter Group series.
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